Static analysis of executables for collaborative malware detection on Android
Schmidt, A-D., Bye, R., Schmidt, H-G., Clausen, J., Kiraz, O., Yuksel, K. A., Camtepe, Seyit A., & Albayrak, S. (2009) Static analysis of executables for collaborative malware detection on Android. In Proceedings of the IEEE International Conference on Communications, IEEE Conference Publications , Dresden, Germany, pp. 1-5.
Smartphones are getting increasingly popular and several malwares appeared targeting these devices. General countermeasures to smartphone malwares are currently limited to signature-based antivirus scanners which efficiently detect known malwares, but they have serious shortcomings with new and unknown malwares creating a window of opportunity for attackers. As smartphones become host for sensitive data and applications, extended malware detection mechanisms are necessary complying with the corresponding resource constraints. The contribution of this paper is twofold. First, we perform static analysis on the executables to extract their function calls in Android environment using the command readelf. Function call lists are compared with malware executables for classifying them with PART, Prism and Nearest Neighbor Algorithms. Second, we present a collaborative malware detection approach to extend these results. Corresponding simulation results are presented.
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|Item Type:||Conference Paper|
|Keywords:||Smartphone security, Static analysis, collaborative malware detection|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Computer System Security (080303)|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Past > Institutes > Information Security Institute
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Deposited On:||12 Mar 2013 01:06|
|Last Modified:||12 Jun 2013 15:36|
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